Qwen3-TTS Demo by unclezhao

Qwen3-TTS Demo by unclezhao

Runs a Qwen3-TTS text-to-speech demo in a Gradio page. The repository has no README text, so what the page offers is not described.

Made by unclezhao on Hugging Face. These notes are Mindket's, written from its Space page and README; the app's own files and license are on Hugging Face.

About

What it is: This Space is a Gradio demo for Qwen3-TTS, a text-to-speech model family, published by unclezhao. The repository has no README text, so the details come from the name, the files and the models it names. Those are three Qwen3-TTS 1.7B models called Base, CustomVoice and VoiceDesign.

Who it suits: It suits people who want to hear Qwen3-TTS speak in a browser without installing anything, and developers who want to see how a demo around these models is built. People who need written instructions or voice options spelled out will not find them here.

Industry | Who uses it | How they use it | Example
Media | Video and audio creators | Hear how the models read a script | Listen to a line of narration before choosing a voice tool
Research | Speech researchers | Try the three model variants the Space names | Compare how the page behaves with each one
Education | Learners | Try a hosted text-to-speech demo | Open the page and play back a short sentence
Software | Developers | Read app.py and the qwen_tts folder | See how a speech model is wired into a Gradio page

If you need documented voices, languages or settings, skip it until the author adds them.

Where to use it: The demo runs in two places.

• A web browser: open the Space page on Hugging Face, where it runs on ZeroGPU with nothing to install.
• Python on Windows, macOS or Linux: start your own copy of the app there.

Use case | Who | What they get back
Hear text read aloud | Anyone | Speech made from the text you give the page
Try the model variants | Researchers | Output from the Base, CustomVoice and VoiceDesign models, if the page offers them
Study the code | Developers | app.py and the qwen_tts folder to read and adapt

How to set it up: The online Space needs none of this. For a local copy you need a few things first.

• Python and pip
• A terminal on Windows, macOS or Linux
• A graphics card may matter, but the source does not say whether a local copy needs one

These are Hugging Face's steps for a local copy.

1. Install the Hugging Face hub package with pip.
2. Download the Space's files into a folder named Qwen3-TTS-demo.
3. Move into that folder.
4. Install Gradio 5.33.0, then the packages listed in requirements.txt.
5. Start the app.

pip install -U huggingface_hub
hf download unclezhao/Qwen3-TTS-demo --repo-type space --local-dir Qwen3-TTS-demo
cd Qwen3-TTS-demo
pip install gradio==5.33.0
pip install -r requirements.txt
python app.py

How to use it: Open the Space page, or start your local copy with the command below. Give the page some text and use the controls it shows to make speech, then play the result. No README lists the controls, so what you see depends on the page itself.

python app.py

Tool | What it does
python app.py | Starts the Gradio app from your downloaded copy

Example: You open the Space page, type a short sentence, and run it with the controls shown. The page plays back your sentence as speech. If the page lets you supply a voice, use only a voice you have the right to use.

For newcomers and experts: Text to speech means a computer reads written words aloud. Start by opening the Space page and trying one short sentence to hear what the voice sounds like.

The Space is built with Gradio 5.33.0 and runs on ZeroGPU hardware. Its repository holds app.py, requirements.txt and a qwen_tts folder. The three model names suggest a base model, a custom voice option and a voice design option, but the source does not say how the page uses them. It gives no speed, language or size details.

You open the Space page or a local copy
You give the page text and pick its controls
A Qwen3-TTS model turns the text into speech
You play the audio the page returns

Good to know: A few facts are worth checking first.

• Documentation: the repository has no README text, so no controls, voices or limits are described.
• License: apache-2, as the Space's listing shows. The source does not state the licenses of the named models.
• Cost to run: none named. The source lists no API key, account or paid service.
• Data it reaches: the text you give it, plus Hugging Face for the Space's files and the models it names. The source does not say where processing happens.
• Not for: the source states no limits or forbidden uses.

On Hugging Face, 13 November 2026

• Likes: 1
• Built with: gradio
• License: apache-2.0

Links

• Space: https://huggingface.co/spaces/unclezhao/Qwen3-TTS-demo
• Files: https://huggingface.co/spaces/unclezhao/Qwen3-TTS-demo/tree/main

Try it

Open the Space in your browser, or copy it to your own Hugging Face account from its page. Nothing in this kit runs by itself.